{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<i>Copyright (c) Microsoft Corporation. All rights reserved.</i>\n",
    "\n",
    "<i>Licensed under the MIT License.</i>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Train and deploy a custom image similarity web application\n",
    "\n",
    "This notebook guides through the process of deploying a custom image similarity web application - from finetuning a RESNET50 model using a sample dataset in ImageNet directory structure format to updating required files for the web application and deploying them along with the model."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will first finetune a pretrained ResNet18 model on a dataset in ImageNet directory structure using [fast.ai](https://www.fast.ai/). We will then use AzureML to deploy the model via Azure Apps Service and set CORS policies as also shown in [/scenarios/classification/25_deployment_on_azure_apps_service_and_setting_CORS_policies](../../../scenarios/classification/25_deployment_on_azure_apps_service_and_setting_CORS_policies.ipynb).\n",
    "\n",
    "Finally, we will calculate features from the reference images and upload them with html and javascript files to deploy a web application that retrieves images with similar textile patterns."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Initialization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fast.ai version = 1.0.57\n",
      "Cuda is not available. Torch is using CPU\n"
     ]
    }
   ],
   "source": [
    "# Regular python libraries\n",
    "import os\n",
    "import sys\n",
    "import numpy as np\n",
    "from pathlib import Path\n",
    "import random\n",
    "\n",
    "import scrapbook as sb\n",
    "\n",
    "# fast.ai\n",
    "import fastai\n",
    "from fastai.vision import (\n",
    "    accuracy,\n",
    "    cnn_learner,\n",
    "    DatasetType,\n",
    "    ImageList,\n",
    "    imagenet_stats,\n",
    "    models,\n",
    "    partial,\n",
    "    PIL\n",
    ")\n",
    "\n",
    "# Computer Vision repository\n",
    "sys.path.extend([\".\", \"../../..\"])  # to access the utils_cv library\n",
    "from utils_cv.classification.data import Urls\n",
    "from utils_cv.classification.model import TrainMetricsRecorder\n",
    "from utils_cv.common.data import unzip_url\n",
    "from utils_cv.common.gpu import which_processor, db_num_workers\n",
    "from utils_cv.similarity.data import comparative_set_builder\n",
    "from utils_cv.similarity.metrics import (\n",
    "    positive_image_ranks,\n",
    "    recall_at_k,\n",
    ")\n",
    "from utils_cv.similarity.model import compute_features, compute_features_learner\n",
    "from utils_cv.similarity.widget import RetrievalWidget\n",
    "\n",
    "print(f\"Fast.ai version = {fastai.__version__}\")\n",
    "which_processor()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Download the dataset and unzip it to a known location\n",
    "\n",
    "Download and unzip the dataset into a known location and use the path for the `DATA_PATH` variable below.\n",
    "\n",
    "Make sure your dataset is in ImageNet directory structure format.\n",
    "\n",
    "NOTE: The sample dataset used here has a total of 1716 images divided into 11 classes: argyle, checkered, dotted, floral, herringbone, houndstooth, leopard, paisley, striped, tartan and zebra. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# To use your own custom dataset in ImageNet directory structure, uncomment the line below\n",
    "# and have DATA_PATH point to your the location of the unzipped dataset\n",
    "# DATA_PATH = \"YOUR-UNZIPPED-DATASET-LOCATION\"\n",
    "DATA_PATH = unzip_url(Urls.fridge_objects_path, exist_ok=True)\n",
    "\n",
    "# DNN configuration and learning parameters\n",
    "EPOCHS_HEAD = 7\n",
    "EPOCHS_BODY = 10\n",
    "LEARNING_RATE = 10* 1e-4\n",
    "BATCH_SIZE = 16\n",
    "ARCHITECTURE = models.resnet18\n",
    "IM_SIZE = 300"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training set: 1373 images\n",
      "Validation set: 343 images\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x432 with 9 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Load images into fast.ai's ImageDataBunch object and split them into training and validation sets\n",
    "random.seed(511)\n",
    "data = (\n",
    "    ImageList.from_folder(DATA_PATH)\n",
    "    .split_by_rand_pct(valid_pct=0.2, seed=20)\n",
    "    .label_from_folder()\n",
    "    .transform(size=IM_SIZE)\n",
    "    .databunch(bs=BATCH_SIZE, num_workers = db_num_workers())\n",
    "    .normalize(imagenet_stats)\n",
    ")\n",
    "\n",
    "print(f\"\"\"\\\n",
    "Training set: {len(data.train_ds.x)} images\n",
    "Validation set: {len(data.valid_ds.x)} images\\\n",
    "\"\"\"\n",
    ")\n",
    "\n",
    "# Display example images\n",
    "data.show_batch(rows=3, figsize=(6, 6))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## ResNet18 CNN fine-tune & model export\n",
    "\n",
    "Using the methods described in notebook [/scenarios/similarity/01_training_and_evaluation_introduction](../../../scenarios/similarity/01_training_and_evaluation_introduction.ipynb), we will retrieve a [ResNet18](https://arxiv.org/pdf/1512.03385.pdf) CNN using fast.ai and fine-tune the model using our fashion textile dataset. We will first train the last layer only, and then the full DNN."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "learn = cnn_learner(\n",
    "    data,\n",
    "    ARCHITECTURE,\n",
    "    metrics=[accuracy],\n",
    "    callback_fns=[partial(TrainMetricsRecorder, show_graph=True)],\n",
    "    ps=0 # Leave dropout at zero. Higher values tend to perform significantly worse\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### First, only train the last layer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: left;\">\n",
       "      <th>epoch</th>\n",
       "      <th>train_loss</th>\n",
       "      <th>valid_loss</th>\n",
       "      <th>train_accuracy</th>\n",
       "      <th>valid_accuracy</th>\n",
       "      <th>time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>1.519488</td>\n",
       "      <td>1.206551</td>\n",
       "      <td>0.541193</td>\n",
       "      <td>0.740113</td>\n",
       "      <td>03:12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>1.290838</td>\n",
       "      <td>2.322802</td>\n",
       "      <td>0.741477</td>\n",
       "      <td>0.598870</td>\n",
       "      <td>03:16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>1.290515</td>\n",
       "      <td>1.387470</td>\n",
       "      <td>0.704545</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>03:17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>1.014254</td>\n",
       "      <td>0.737577</td>\n",
       "      <td>0.762784</td>\n",
       "      <td>0.824859</td>\n",
       "      <td>03:18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>0.631062</td>\n",
       "      <td>0.580859</td>\n",
       "      <td>0.875000</td>\n",
       "      <td>0.853107</td>\n",
       "      <td>03:14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>0.355842</td>\n",
       "      <td>0.600763</td>\n",
       "      <td>0.936080</td>\n",
       "      <td>0.824859</td>\n",
       "      <td>03:19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>0.207222</td>\n",
       "      <td>0.628444</td>\n",
       "      <td>0.975852</td>\n",
       "      <td>0.819209</td>\n",
       "      <td>03:19</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Train the last layer using a larger rate since most of the DNN is fixed.\n",
    "learn.fit_one_cycle(EPOCHS_HEAD, 10 * LEARNING_RATE)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Now, let's fine-tune the full DNN"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: left;\">\n",
       "      <th>epoch</th>\n",
       "      <th>train_loss</th>\n",
       "      <th>valid_loss</th>\n",
       "      <th>train_accuracy</th>\n",
       "      <th>valid_accuracy</th>\n",
       "      <th>time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>0.255167</td>\n",
       "      <td>1.317408</td>\n",
       "      <td>0.924716</td>\n",
       "      <td>0.700565</td>\n",
       "      <td>04:32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>0.992316</td>\n",
       "      <td>3.660327</td>\n",
       "      <td>0.714489</td>\n",
       "      <td>0.485876</td>\n",
       "      <td>04:17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>1.186169</td>\n",
       "      <td>2.939251</td>\n",
       "      <td>0.646307</td>\n",
       "      <td>0.440678</td>\n",
       "      <td>04:15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>1.103605</td>\n",
       "      <td>2.075863</td>\n",
       "      <td>0.686080</td>\n",
       "      <td>0.564972</td>\n",
       "      <td>04:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>0.862986</td>\n",
       "      <td>1.817852</td>\n",
       "      <td>0.771307</td>\n",
       "      <td>0.548023</td>\n",
       "      <td>04:18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>0.641886</td>\n",
       "      <td>1.009787</td>\n",
       "      <td>0.838068</td>\n",
       "      <td>0.745763</td>\n",
       "      <td>04:14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>0.427670</td>\n",
       "      <td>0.672126</td>\n",
       "      <td>0.911932</td>\n",
       "      <td>0.790960</td>\n",
       "      <td>04:22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>0.260598</td>\n",
       "      <td>0.793366</td>\n",
       "      <td>0.950284</td>\n",
       "      <td>0.796610</td>\n",
       "      <td>04:14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>0.152652</td>\n",
       "      <td>0.606555</td>\n",
       "      <td>0.980114</td>\n",
       "      <td>0.830508</td>\n",
       "      <td>04:12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>0.104243</td>\n",
       "      <td>0.610537</td>\n",
       "      <td>0.984375</td>\n",
       "      <td>0.830508</td>\n",
       "      <td>04:14</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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fXE1ql0Re/tHZ31mByZiGoqpk5hSyOCOXxRvy2L6vGI/AiJ5tmTC4MxcP7ETHROvDCgvHFfpbnMJ+b7DwP3qg6rzYVpA0ADr0r/baHxI6QphOuGfJ4AQ+yMzj/8xdQ1q3Njx/03Dioi0hmIahqmzILuC9DU4C2HXgCF6PMLJXO8YP7sQPUjtZE5CbVKF4X7XCPlj47910gkI/+NVhQFgX+nVxNRmIyCXAXwEv8LSq/r7G8VbAy0A3nOm0H1HV5050zYZMBgAL1+dw16trGXVGe56emW6TdpnTFggo67IOsXhDLos25JF96Cg+jzCqd3smDOrEDwZ2sj4qNxzOP76wz99cd6Gf1M8p7CsL/padIq7Qr4try16KiBd4DLgIyAJWisgCVd1Y7bTbgY2qeqmIJAFbRGSuqpaFKq6aJg3pQpk/wI//8RW3vbyav9+QTrTv5Gu3GgNOAliz6yDvbchlSUYeuQUlRHmF8/okcc+FfbgotaOtDtZYDudXa8+v1rZ/ZH/VOTGtnLv8AZcGC/1+ThJoQoX+6Qplu8gIYJuqbgcQkXnAFKB6MlCgpTirWiQABwB/CGOq1dS0FEr9AR54awN3vrqGv12bVq/FvE3zVBFcIH7xhlwWZ+Sxt6iUaJ+H0X2S+OnF/Rg3oKMNSqgvVagoA39p1au/5Lv7KkrBX3b8sfIjsH9bVTNPbYV+/4nHt+1boV+nUCaDZGB3te0s4Owa5/wNWADkAC2BaarfHZclIrOB2QDduoVm4fvpI7pRWl7Bw+9u5N7Xv+Iv04bitQd7TJC/IsCKbw/w3oZc3s/MY9/hMmJ8Hsb268D4wZ24oH8HWsY2wQSgCod2QvZqOHKgWoFdrYCuKK1RcAcL7focq/iejQAxiU5zTmWhX9nM07KzFfqnKJTJoLZ/iZodFBcD64ALgDOAD0XkM1UtPO5DqnOAOeD0GYQgVgBmnduTUn+A/168mRifhz9eMcSe9GzGyisCLPtmP4szcnk/cw8HistoEeXlgv5OAhjbrwPxTW0UWvlRyFkLu1dA1krntXhv7ed6osAXA95o59UXA94Y8EUHX2MgOsEZ2ljbscrPeaPBF1vLvpiqc2s75msBcW2t0G8gofxLzgK6VttOwakBVHcj8Ht1erG3ici3QH9gRQjjOqFbzj+DkvIA/7v0a2J8Hn572SBbm7UZKfMH+Pe2fSzakMsHG/dQcLSc+Ggv4wZ0ZMLgTpzft0PTeRJY1XlIqrLQz1oBeRsgEGypbdsLzhgLKcOh6who2aWqMPdGg8eaUpuSUCaDlUAfEekJZAPXANfWOGcXMA74TEQ6Av2A7SGMqV7uGtebEn8FT3zyDTE+L7+YNMASQhNWUl7B51v3sSgjlw837qGoxE/LGB8XpnZk/KBOjO6b1DRGmZUfhZx1TqFfeed/eI9zLCoOks+CUXc5BX/KcIhv7268plGFLBmoql9E7gDexxla+qyqZorIrcHjTwK/AZ4XkQ04zUr3qeq+UMVUXyLCzy7uR0l5Bc/++1tiozz89OJ+lhCamI05hby0fAfvfpXL4VI/ibE+Lh7YiQmDO3Fu7/bE+CI4AahCwe7jm3vyNkCg3Dnepif0GlN1199hIHibWJOXOSUh/ddX1UXAohr7nqz2Pgf4QShjOF0iwi8npVLmD/D4J98QG+XlrnF93A7LfE9l/gBLMvN48YsdrNp5kNgoD5OGdGHSkM6MOqN95A4rLi+B3HVVzT27V8LhPOdYVBx0SYNRd0BK8K4/IcndeE3YsVuBExARfjNlEKX+AH/+0OlDuOX8M9wOy5yGvIISXlmxi1dX7CK/qJRubeP4+cQBXHVWV1rFRdgoIFUoyKoq9LNWQO76anf9PaDn6Krmno4DwRthP6NpdJYMTsLjEf5wxZDjRhnNOren22GZelBVvvz2AC8t28mSzDwCqozpm8SMUT04v09S5IwUKy+B3K+Ob+svynWO+VpAchqMvL2q8E/o4G68JiJZMqgHr0f489VnUuZ3nkOIifIyfURonncw319xqZ+312bz0rKdbNlTRKsWUdx0bg+uP6c73dtFwLKnRw/CNx9XtfXnflV119+6O/T4D6e5p+tw6DjI7vpNg7BkUE9RXg+PTh/GrS+t5sG3NxAb5eHyYSluh2Wq+Sb/MC8t28mbq7MoKvUzsEsif7xiCJee2SVyhoPu/wZeuBQKs52x913SYOT/qWrrb9nR7QhNE2XJ4BTE+Lw8cf1Z/PCFlfz49a+I9nqZOKSz22E1axUB5Z+b9/Lish18tnUfUV5hwuDOzBjZg7RurSNrBFj+FicRBCpg5rvQbaTd9ZtGY8ngFMVGeXlqRjqznl3J3fPWEuUVfjCwk9thNTsHisuYt3IXc5fvIvvQUTolxvLji/pyzYhukTk19J5MeGEyeLww6z1nLh1jGlGzXs/g+ygqKeeGZ1awMaeQp2amc35fG6rXGL7afYgXlu1g4fpcyvwBRvZqx4yR3bkotSO+SJ1cMPcrePEyp1lo5rvQvrfbEZkmyBa3CaGCI+Vc+/Rytu09zHM3DmfUGfbEZiiUlFfw3vpcXly2g6+yCoiP9jI1LYUbRnanb8eWbof3/WSthpcvdyZcm7nAmQLCmBCwZBBiB4rLmD5nObsPHuFXkwcyfnBnW0KzgWQdPMLcL3fx2srdHCgu44ykeGaM7MHUtOSmMUPori/h5SucydZmLYTWNkLNhI4lg0aQX1TKDc98yea8IqJ9Hsb2S2LikC6M698EZ7UMMVXl8237eHHZTj7a5Mybc1FqR2aM7MGoM9pFVofwiez4HOZe7cyvP/NdaJXsdkSmiXNtpbOQKjvizIke19btSABIahnDorvOY82ugyxcn8uiDc6UxzE+Dxf078DEIZ25oH8HW2P5BApLynlzdRYvLd/J9vxi2sVHc9uYM7j27O4kt27hdngNa/sn8Mo1Tk1g5gInIRjjssisGdzdzVnVaOa7EJvodkjfEQgoq3Ye5L31OSzKyCO/qJTYKA/j+ndk4pDOjO3XhKZB/p625BXx4rIdvL02myNlFQzt2pqZo7ozYXDnyJ4ori5bl8Jr10HbM2DGOzZHkGk0TbOZ6JXfwbxrnQdxrn8TouPcDqtOFQFl1Q5nhaxFG/LYd7iUFlFexg3owKQhnRnTr0PTmB75FJRXBPggcw8vLtvBl98eINrnYfKZXZgxsjtDUlq7HV7obFkMr89wVuaa8U7Y1GxN89A0k8GqVZDxFrz5Q+g1Fqa/6qx8FOYqAhpcOjGHxRvy2F9cRly0lwsHODWG85vKvPm1OFLmZ1NuIZ9t3cerK3axp7CUlDYtuP6c7lyd3pW28U180fiN78AbN0HnM50bmBZt3I7INDNNNxkArHkJFtwBAybDlc9F1HzslWvqLtyQy5KMPA4UlxEf7eXC1I5MHNw5ohdUKSwpZ2NOIRnZBWQGX7/JP0wg+Kc2um8SM87pztj+HZrHOtMb3oC3ZkNKOlz3Rlg2bZqmr2knA4Blj8P7D8CZ18KUxyJyKT5/RYDl250aw5KMPA4eKSchxsdFwcRwXt/wXWjlYHGZU+DnFLAhu4DM7AJ27D9y7HinxFgGJScysEsrBiW3YkhKKzomxroYcSNb9wq8czt0GwXXvgYxCW5HZJqppp8MAP71R/j4dzD8Zpjwp4heILtyEfb31ueyJDOPgqPltIzxcdHAjkwa0pn/6J3k2gIs+UWlZOQUkJFV4LxmF5J96Oix4yltWjCoSysGp7RiYBcnAUTk1BANZfUL8O7d0Ot8uObVsO7bMk1f80gGqvDhL+CL/wf/cS9c+JA7wTWw8gpncfb31ufyfmYehSXO0ow/GNiJiUM6c26IVuZSVfIKS9iQVUBGTiGZ2U7hv6ew9Ng5vdrHMzC5FYO6JDIo2Sn8W8c18Xb/U7HiKVj0E+h9EUx7GaKaUW3IhKXmkQzASQgL74HVz8O4X8J5P2702EKpzO8khoXrc/lgYx5FJX5atYji4oEdmTikC6POaEfUaczNo6rsPnA0eKdfVfjvLy4DwCPQu0MCg7q0Olb4p3ZJbBpPAIfKssfg/Qeh3wS46vmIGNxgmr6m+dBZbURg4p+hrBg++rUz18uIm92OqsFE+zyM7d+Bsf07UOofxOdbnRrD4g15vL4qi9ZxUVwSrDGM7NWu1knbAgHl2/3Fx3XsZmQXUFjiB8DnEfp2bMm4AR0YlOy08Q/olGjPRJyKz/8Xlj7sDGq44hnwWW3JRIamUzOoVFHujOXesgguewKGXtt4wbmgpLyCz7bu4731OXy4cQ/FZRW0jY/m4oGduCi1AweLy8nIKSAzu5DMnAKKyyoAJ7kM6NSSgcmtGJzcikFdWtG3U0LYdlRHhMq+q0FXwuV/j6jRbabpaz7NRNWVl8ArV8OOz5xqeuqURonNbSXlFfzr63zeW5/L0k17OBIs+FtEeRlYrW1/UHIrendIOK1mJVMLVfjnb+GzR4Kj2v7mrEtgTBhpnskAoPQwvHQ55KyFa+dB7wtDH1wYKSmvYPXOg3RMjKFn+4TmMZ7fDdUHL6TNhEl/icjhzabpO1kyaLp/tTEJcN0/nBWj5l0PO79wO6JGFRvl5dze7endoaUlglBRhSX3O4lg+M2WCExEa9p/uS1aw/VvQ+uuznTB2Wvcjsg0FYEALPy/8OWTMPIO5/kWSwQmgjX9v96EJLhhPsS1cRYS2bvJ7YhMpAtUwII7YfVzznMtP/htRD/oaAw0h2QAzsIhM94Bb7Sz1uyB7W5HZCJVhR/evhXWvQzn3+8802KJwDQBIU0GInKJiGwRkW0icn8d54wRkXUikiki/wpZMG17wYz5UFEGL0yBguyQfSvTRFWUOzPlbngdLvgFjH3AEoFpMuqVDETkTRGZKCL1Th4i4gUeA8YDqcB0EUmtcU5r4HFgsqoOBK6qd+Sno8MAuOEtOHoQXpwCh/ND+u1ME+Ivg3/Mgo3znWah0T9xOyJjGlR9C/cngGuBrSLyexHpX4/PjAC2qep2VS0D5gE1B/xfC7ylqrsAVHVvPeM5fV2GwXWvQ0GWM/T06MGQf0sT4cpL4LXrYfNCGP9HGHWn2xEZ0+DqlQxUdamqXgekATuAD0XkCxG5UUTqmqQmGdhdbTsruK+6vkAbEflERFaLyIzaLiQis0VklYisys9vgLv57qPgmpchf7Mzyqj08Pe/pmmayo7AvOmw9X1n6OjZt7gdkTEhcSrNPu2AWcCPgLXAX3GSw4d1faSWfTWfcPMBZwETgYuBX4hI3+98SHWOqqaranpSUgOtGdv7QrjyWche5SyhWV7SMNc1TUdZsfMk+zcfO2tlpN/odkTGhEx9+wzeAj4D4oBLVXWyqr6mqncCda3WkQV0rbadAuTUcs4SVS1W1X3Ap8CZp/IDfC+pk2HK4/Dtv+CNG50OQmMASgqdocg7/w1T58Cw692OyJiQqm/N4G+qmqqq/62qudUPnODx5pVAHxHpKSLRwDXAghrnvAOcJyI+EYkDzgYa90GAodNhwiPOxHbzb3PGkJvm7eghpz8pa6VTexxytdsRGRNy9Z1WcYCIrFHVQwAi0gaYrqqP1/UBVfWLyB3A+4AXeFZVM0Xk1uDxJ1V1k4gsAdYDAeBpVc34Pj/QaRlxM5QWwUe/guh4p23Yhgw2T0cOOIlgTyZc/SL0n+h2RMY0inpNVCci61R1aI19a1V1WMgiq0O9J6o7HUt/BZ//2ZlewJ4qbXiH82HTAohOgPh2EJ8Ece0hvn14LABTvM8Zcrxvq7M6Wd8fuB2RMQ2moRa38YiIaDBzBJ8haHqrdoz7JZQdhmV/cxbHGXOf2xE1DYEArHneSbYlh2o/JyYR4oIJIr798e/jk4Lb7asSSEMvGlO0B16cDAd3OLPcnnFBw17fmDBX32TwPvC6iDyJMyLoVmBJyKJyiwhc8gdnqOkn/+XMfDrydrejimy5XzkTumWvhh7nwcX/BVFxUJwPR/Y5d+PF+6q9z4dDu5zzj+yHgL/268YkBpNGMEHEt6v2vkYyOVnyKMyBFyZDYbYz023P0aH5XRgTxuqbDO4DbgFuwxky+gHwdKiCcpXHA5P/n1NDeP9Bp0njrJluRxV5Sgrg4/+CFXOcwnjqUzD4qvwP3nEAABE6SURBVKqmt/a9T34NVacmcVzCyIfi/ccnk4M7nCHCxftA6xgAENOqRtNUtfcr5jifvf4t6D6ywX4FxkSSpru4zfflL3WeP9j2EVz5DAy6IvTfsylQhYw34f3/hMN7YPiP4IKfO9OJh1og4CSPI/urahnfqX0Ek0nlfq2A2NZw/ZuQUmdzqjERr0H6DESkD/DfOHMMxVbuV9Ve3zvCcOWLgatfcsaavzUbouKh3yVuRxXe9m2DRT+G7Z9A56Ew/VVITmu87+/xQFxb56t9n5OfX5k8fLEQHRf6+IwJY/V9zuA5nPmJ/MBY4EXgpVAFFTai4+Da16DTYHh9Bnz7qdsRhafyo/DP38ETIyF7rfPcxs3/bNxEcDoqk4clAmPqnQxaqOpHOM1KO1X1YaB5DLeITXTaktv2gleugd0r3Y4ovGz9EB4/Bz79Iwy8HO5Y6Ty3YQvCGxNR6psMSoLTV28VkTtE5HKgQwjjCi9xbZ21EBI6wNwrIK/xn4sLOwXZ8NoNMPdKZ9Ggme860za07Oh2ZMaY01DfZHAPzrxEd+FMLHc90LyG2LTs5KyWFhUPL13mtI83RxV++OJv8NgI2PqBs8jLrf+24ZjGRLiTJoPgA2ZXq+phVc1S1RtV9QpVXd4I8YWXNt2dhKDqPKl6aJfbETWuXcthzvnwwX9C93Ph9i+dRV4a+gEwY0yjO2kyUNUK4CwRm5sBgKS+cMPbzlxGL0yGojy3Iwq94v3wzh3w7MXOJG7T5jod6216uB2ZMaaB1Pehs7XAOyLyD6C4cqeqvhWSqMJd5yFw/Rvw4mXOpGaz3nP6FZqaQMBZ+P3Dh6C0EEbdBeff5zyZbYxpUuqbDNoC+zl+BJECzTMZAHQdAdNfcVZKe/kKp/koNtHtqBpOXga8dy/s/hK6jYKJ/wMdU0/+OWNMRKpXMlBVW+KpNr3GwNUvwLzr4NVrnHltouPdjur7KS2CT34Py59wnhq+7Ak4c7rN4GpME1ffJ5Cf47tLVqKqNzV4RJGm33hnSOWbP4I/9oIuwyBluFNzSBkROUMtVWHjO7DkASjKgbNmwbiHmmbzlzHmO+rbTLSw2vtY4HK+u4Rl8zX4SkjoCFsWQ9YK+PJJ+OJR51jrbk5S6DrCSRKdBoM3yt14azqwHRb9FLYthY6DnUVdug53OypjTCOqbzPRm9W3ReRVYGlIIopUPc9zvgDKSyBvPexe4SSHnV9AxhvOMV8Lp/bQdXhVkkhw6fk9fyn8+6/w2f+AJwou+T0Mvxm89b1HMMY0Faf7v74P0K0hA2lSomKdQr7riKp9BVnB5LDS6ZRd9jgE/uoca929qlmp63DoOCj0tYdvPob3fgwHvoGBU+Hi30Fil9B+T2NM2Kpvn0ERx/cZ5OGscWDqq1WK8zVoqrNdXgK566pqD99+Bhv+4RzztXAmeave95CQ1DBxFOY6D41lvOnMt3T9W9B7XMNc2xgTsWw9g3Ch6tQeslY4k+FlrYDc9RAod4636XF830PHQafWnFPhh5VPwz9/CxVlcN69cO49Ti3GGNPkNdR6BpcD/1TVguB2a2CMqs5vmDANItC6q/NVuZBO+VFn2chjtYdPYcPrzrGoOOiSdnzfQ3z72q+dtRoW3uP0Y5wxDib8Cdqd0Tg/lzEmItSrZiAi61R1aI19a1V1WMgiq0OTrRnUhyoU7K7W97DCKeAr1wlu07Oq5tB1BCQmOzWB1c87E+1d8t+Qepk9M2BMM9QgNQNqn8PIhpw0NhFnqGrrbs5wVnBqDznrgs1LK5xVxta/Vu0zHjjnNhjzQNN6QtoY06DqW6CvEpE/A4/hdCTfCawOWVSm/qJaOIu4Vy7krurMppq1EvZugtQpzlxKxhhzAvVNBncCvwAqbzk/AH4ekojM9yPiTLXdprvbkRhjIkh9HzorBu4PcSzGGGNcUq+VzkTkw+AIosrtNiLyfujCMsYY05jqu+xle1U9VLmhqgepxxrIInKJiGwRkW0iUmfNQkSGi0iFiFxZz3iMMcY0oPomg4CIHJt+QkR6UMssptUFl8t8DBgPpALTReQ7E+IHz/sDYDUNY4xxSX07kP8T+FxE/hXcHg3MPslnRgDbVHU7gIjMA6YAG2ucdyfwJmDTZBpjjEvqVTNQ1SVAOrAFZ0TRj4GjJ/lYMrC72nZWcN8xIpKMMx32kye6kIjMFpFVIrIqPz+/PiEbY4w5BfWdjuJHwN1ACrAOOAdYxvHLYH7nY7Xsq9m09BfgPlWtkBM8Fauqc4A54DyBXJ+YjTHG1F99+wzuxmnG2amqY4FhwMlu0bOArtW2U/jugjjpwDwR2QFcCTwuIpfVMyZjjDENpL59BiWqWiIiiEiMqm4WkX4n+cxKoI+I9ASygWuAa6ufoKo9K9+LyPPAQpv8zhhjGl99k0FW8DmD+cCHInKQkyx7qap+EbkDZ5SQF3hWVTNF5Nbg8RP2ExhjjGk8p7yegYicD7QClqhqWUiiOoFmPWupMcacpoaatfQYVf3Xyc8yxhgTSerbgWyMMaYJs2RgjDHGkoExxhhLBsYYY7BkYIwxBksGxhhjsGRgjDEGSwbGGGOwZGCMMQZLBsYYY7BkYIwxBksGxhhjsGRgjDEGSwbGGGOwZGCMMQZLBsYYY7BkYIwxBksGxhhjsGRgjDEGSwbGGGOwZGCMMQZLBsYYY7BkYIwxBksGxhhjsGRgjDEGSwbGGGMIcTIQkUtEZIuIbBOR+2s5fp2IrA9+fSEiZ4YyHmOMMbULWTIQES/wGDAeSAWmi0hqjdO+Bc5X1SHAb4A5oYrHGGNM3UJZMxgBbFPV7apaBswDplQ/QVW/UNWDwc3lQEoI4zHGGFOHUCaDZGB3te2s4L66/BBYXNsBEZktIqtEZFV+fn4DhmiMMQZCmwykln1a64kiY3GSwX21HVfVOaqarqrpSUlJDRiiMcYYAF8Ir50FdK22nQLk1DxJRIYATwPjVXV/COMxxhhTh1DWDFYCfUSkp4hEA9cAC6qfICLdgLeAG1T16xDGYowx5gRCVjNQVb+I3AG8D3iBZ1U1U0RuDR5/Evgl0A54XEQA/KqaHqqYjDHG1E5Ua23GD1vp6em6atUqt8MwxpiIIiKrT3SzbU8gG2OMsWRgjDHGkoExxhgsGRhjjMGSgTHGGCwZGGOMwZKBMcYYLBkYY4zBkoExxhgsGRhjjMGSgTHGGCwZGGOMwZKBMcYYLBkYY4zBkoExxhgsGRhjjMGSgTHGGCwZGGOMwZKBMcYYLBkYY4zBkoExxhgsGRhjjMGSgTHGGCwZGGOMwZKBMcYYLBkYY4zBkoExxhgsGRhjjCHEyUBELhGRLSKyTUTur+W4iMijwePrRSQtlPEYY4ypXciSgYh4gceA8UAqMF1EUmucNh7oE/yaDTwRqniMMcbULZQ1gxHANlXdrqplwDxgSo1zpgAvqmM50FpEOocwJmOMMbUIZTJIBnZX284K7jvVcxCR2SKySkRW5efnN3igxhjT3IUyGUgt+/Q0zkFV56hquqqmJyUlNUhwxhhjqoQyGWQBXattpwA5p3GOMcaYEAtlMlgJ9BGRniISDVwDLKhxzgJgRnBU0TlAgarmhjAmY4wxtfCF6sKq6heRO4D3AS/wrKpmisitweNPAouACcA24AhwY6jiMcYYU7eQJQMAVV2EU+BX3/dktfcK3B7KGIwxxpycPYFsjDHGkoExxhhLBsYYY7BkYIwxBksGxhhjsGRgjDEGSwbGGGOwZGCMMQZLBsYYY7BkYIwxBksGxhhjsGRgjDEGEGeuuMghIvnATqA9sM/lcGqymE4u3OIBi6m+LKaTC7d4oCqm7qpa5+pgEZcMKonIKlVNdzuO6iymkwu3eMBiqi+L6eTCLR6of0zWTGSMMcaSgTHGmMhOBnPcDqAWFtPJhVs8YDHVl8V0cuEWD9QzpojtMzDGGNNwIrlmYIwxpoFYMjDGGBN5yUBELhGRLSKyTUTudzseABF5VkT2ikiG27EAiEhXEflYRDaJSKaI3B0GMcWKyAoR+SoY06/cjglARLwislZEFrodSyUR2SEiG0RknYisCoN4WovIGyKyOfg3NdLlePoFfzeVX4Uico+bMQXj+r/Bv+0MEXlVRGLDIKa7g/FknvR3pKoR8wV4gW+AXkA08BWQGgZxjQbSgAy3YwnG0xlIC75vCXzt9u8JECAh+D4K+BI4Jwx+V/cCrwAL3Y6lWkw7gPZux1EtnheAHwXfRwOt3Y6pWmxeIA/ngSo340gGvgVaBLdfB2a5HNMgIAOIA3zAUqBPXedHWs1gBLBNVberahkwD5jickyo6qfAAbfjqKSquaq6Jvi+CNiE88fqZkyqqoeDm1HBL1dHL4hICjAReNrNOMKZiCTi3Ow8A6CqZap6yN2ojjMO+EZVd7odCE6B20JEfDgFcI7L8QwAlqvqEVX1A/8CLq/r5EhLBsnA7mrbWbhcyIU7EekBDMO5E3dVsElmHbAX+FBV3Y7pL8DPgIDLcdSkwAcislpEZrscSy8gH3gu2Jz2tIjEuxxTddcAr7odhKpmA48Au4BcoEBVP3A3KjKA0SLSTkTigAlA17pOjrRkILXss7GxdRCRBOBN4B5VLXQ7HlWtUNWhQAowQkQGuRWLiEwC9qrqardiOIFzVTUNGA/cLiKjXYzFh9ME+oSqDgOKgXDpq4sGJgP/CINY2uC0UvQEugDxInK9mzGp6ibgD8CHwBKcZnV/XedHWjLI4vjMloL7VbGwJCJROIlgrqq+5XY81QWbGT4BLnExjHOBySKyA6e58QIRednFeI5R1Zzg617gbZzmUbdkAVnVanFv4CSHcDAeWKOqe9wOBLgQ+FZV81W1HHgLGOVyTKjqM6qapqqjcZqyt9Z1bqQlg5VAHxHpGbwruAZY4HJMYUdEBKeNd5Oq/tnteABEJElEWgfft8D5z7PZrXhU9QFVTVHVHjh/R/9UVVfv5ABEJF5EWla+B36AU913harmAbtFpF9w1zhgo1vx1DCdMGgiCtoFnCMiccH/f+Nw+upcJSIdgq/dgKmc4Pfla6ygGoKq+kXkDuB9nFEEz6pqpsthISKvAmOA9iKSBTykqs+4GNK5wA3AhmAbPcCDqrrIxZg6Ay+IiBfnJuR1VQ2b4ZxhpCPwtlOe4ANeUdUl7obEncDc4A3YduBGl+Mh2AZ+EXCL27EAqOqXIvIGsAanKWYt4TE1xZsi0g4oB25X1YN1nWjTURhjjIm4ZiJjjDEhYMnAGGOMJQNjjDGWDIwxxmDJwBhjDJYMjDlGRCpqzIbZYE/aikiPcJnV1pjaRNRzBsaE2NHgdBnGNDtWMzDmJILrC/whuB7DChHpHdzfXUQ+EpH1wdduwf0dReTt4NoNX4lI5bQEXhF5Kji3/AfBJ7ERkbtEZGPwOvNc+jFNM2fJwJgqLWo0E02rdqxQVUcAf8OZ7ZTg+xdVdQgwF3g0uP9R4F+qeibOPD6VT8n3AR5T1YHAIeCK4P77gWHB69waqh/OmBOxJ5CNCRKRw6qaUMv+HcAFqro9OAFgnqq2E5F9QGdVLQ/uz1XV9iKSD6Soamm1a/TAmba7T3D7PiBKVX8rIkuAw8B8YH61dR+MaTRWMzCmfrSO93WdU5vSau8rqOqzmwg8BpwFrA4ujmJMo7JkYEz9TKv2uiz4/gucGU8BrgM+D77/CLgNji3ok1jXRUXEA3RV1Y9xFtppDXyndmJMqNkdiDFVWlSb5RVgiapWDi+NEZEvcW6gpgf33QU8KyI/xVkNrHI2z7uBOSLyQ5wawG04q1/Vxgu8LCKtcBZv+t8wW1bSNBPWZ2DMSQT7DNJVdZ/bsRgTKtZMZIwxxmoGxhhjrGZgjDEGSwbGGGOwZGCMMQZLBsYYY7BkYIwxBvj/Aot2xUL9kpwAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Unfreeze all the layers and fine-tune the full DNN\n",
    "learn.unfreeze()\n",
    "learn.fit_one_cycle(EPOCHS_BODY, LEARNING_RATE)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Export the fine-tuned model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# export the fine-tuned model into the current working directory\n",
    "MODEL_NAME = \"textile_pattern_model\"\n",
    "MODEL_PATH = os.path.join(os.getcwd(), MODEL_NAME)\n",
    "\n",
    "learn.export(MODEL_PATH)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Retrieve AzureML workspace and register the fine-tuned model for deployment"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Let's first import required modules for model deployment and retrieve your AzureML workspace"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Let's first import required modules for model deployment\n",
    "import json\n",
    "import requests\n",
    "import sys\n",
    "# This \"sys.path.extend()\" statement allows us to move up the directory hierarchy \n",
    "# and access the Computer Vision Repository utils_cv package\n",
    "sys.path.extend([\".\", \"../../..\"])\n",
    "\n",
    "# Import AzureML modules that are required for this notebook\n",
    "from azureml.core import Workspace, Environment\n",
    "from azureml.core.model import Model, InferenceConfig\n",
    "\n",
    "# Import custom vision utilities for retrieving workspaces and for testing\n",
    "from utils_cv.common.azureml import get_or_create_workspace\n",
    "from utils_cv.common.data import data_path\n",
    "from utils_cv.common.image import ims2strlist"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "subscription_id = \"YOUR_SUBSCRIPTION_ID\"\n",
    "resource_group = \"YOUR_RESOURCE_GROUP_NAME\"  \n",
    "workspace_name = \"YOUR_WORKSPACE_NAME\"  \n",
    "workspace_region = \"YOUR_WORKSPACE_REGION\" #Possible values eastus, eastus2 and so on."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "ws = get_or_create_workspace(\n",
    "                subscription_id,\n",
    "                resource_group,\n",
    "                workspace_name,\n",
    "                workspace_region)\n",
    "\n",
    "# Let's print the workspace details\n",
    "print(\"Workspace name: \" + ws.name,\n",
    "      \"Workspace region: \" + ws.location,\n",
    "      \"Subscription ID: \" + ws.subscription_id,\n",
    "      \"Resource Group: \" + ws.resource_group, sep = \"\\n\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Register the exported model to your AzureML workspace for deployment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Registering model textile_pattern_model\n"
     ]
    }
   ],
   "source": [
    "textile_pattern_model = Model.register(\n",
    "    model_path = MODEL_PATH,\n",
    "    model_name = MODEL_NAME,\n",
    "    tags = {\"Model\": \"Fine-tuned ResNet18 CNN model on fashion textile pattern dataset\"},\n",
    "    description = \"Image similarity\",\n",
    "    workspace = ws\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Scoring script\n",
    "\n",
    "We will use a custom scoring script that saves the features in the intermediate layers and returns them in a JSON format so that they can be used to calculate the euclidean distances for retrieving similar images."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "scoring_script = \"score_similarity.py\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Writing score_similarity.py\n"
     ]
    }
   ],
   "source": [
    "%%writefile $scoring_script\n",
    "# Copyright (c) Microsoft. All rights reserved.\n",
    "# Licensed under the MIT license.\n",
    "\n",
    "import os\n",
    "import json\n",
    "\n",
    "from base64 import b64decode\n",
    "from io import BytesIO\n",
    "\n",
    "from azureml.core.model import Model\n",
    "from fastai.vision import load_learner, open_image\n",
    "\n",
    "# Required for image similarity to save the features in the intermediate layers\n",
    "from torch.nn import Module\n",
    "from torch import Tensor\n",
    "import numpy as np\n",
    "\n",
    "class SaveFeatures:\n",
    "    \"\"\"Hook to save the features in the intermediate layers\n",
    "    Source: https://forums.fast.ai/t/how-to-find-similar-images-based-on-final-embedding-layer/16903/13\n",
    "    Args:\n",
    "        model_layer (nn.Module): Model layer\n",
    "    \"\"\"\n",
    "\n",
    "    features = None\n",
    "\n",
    "    def __init__(self, model_layer: Module):\n",
    "        self.hook = model_layer.register_forward_hook(self.hook_fn)\n",
    "        self.features = None\n",
    "\n",
    "    def hook_fn(self, module: Module, input: Tensor, output: Tensor):\n",
    "        out = output.detach().cpu().numpy()\n",
    "        if isinstance(self.features, type(None)):\n",
    "            self.features = out\n",
    "        else:\n",
    "            self.features = np.row_stack((self.features, out))\n",
    "\n",
    "    def remove(self):\n",
    "        self.hook.remove()\n",
    "\n",
    "def init():\n",
    "    global learner\n",
    "    model_path = Model.get_model_path(model_name=\"textile_pattern_model\")\n",
    "    # ! We cannot use the *model_name* variable here otherwise the execution on Azure will fail !\n",
    "\n",
    "    model_dir_path, model_filename = os.path.split(model_path)\n",
    "    learner = load_learner(model_dir_path, model_filename)\n",
    "\n",
    "\n",
    "def run(raw_data):\n",
    "\n",
    "    # Expects raw_data to be a list within a json file\n",
    "    result = []    \n",
    "    \n",
    "    for im_string in json.loads(raw_data)[\"data\"]:\n",
    "        im_bytes = b64decode(im_string)\n",
    "        try:\n",
    "            im = open_image(BytesIO(im_bytes))\n",
    "            \n",
    "            # feature extraction\n",
    "            # use penultimate layer as image representation\n",
    "            embedding_layer = learner.model[1][-2]\n",
    "            \n",
    "            featurizer = SaveFeatures(embedding_layer)\n",
    "            featurizer.features = None\n",
    "            \n",
    "            pred_class, pred_idx, outputs = learner.predict(im)\n",
    "            \n",
    "            features = featurizer.features[0][:]\n",
    "            featurizer.features = None\n",
    "\n",
    "            result.append({\"label\": str(pred_class), \n",
    "                           \"features\": \"[\" + ','.join(map(lambda feature: str(feature), features)) + \"]\"})\n",
    "        except Exception as e:\n",
    "            result.append({\"label\": str(e)})\n",
    "    return result"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Retrieving your AzureML environment for the deployment\n",
    "\n",
    "If you have not yet created your AzureML environment, please follow the steps in **section 3.D. Using AzureML Environments for Environment setup** in notebook: [/scenarios/classification/21_deployment_on_azure_container_instances](../../../scenarios/classification/21_deployment_on_azure_container_instances.ipynb#env)\n",
    "\n",
    "Since the model used in the classification deployment notebook listed above is also using a fast.ai based ResNet18 model, the required dependencies for our deployment are the same, allowing us to reuse the same AzureML environment.\n",
    "\n",
    "This notebook will assume that you already have an AzureML environment named `im_classif_resnet18` that is registered to your workspace."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "resnet_tuned_env = Environment.get(workspace=ws, name=\"im_classif_resnet18\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Build the image that will be used for the deployment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "inference_config = InferenceConfig(entry_script=\"score_similarity.py\", environment=resnet_tuned_env)\n",
    "\n",
    "inference_image = Model.package(ws, [textile_pattern_model], inference_config)\n",
    "# Setting show_output to True to stream the logs from the Docker image build process\n",
    "inference_image.wait_for_creation(show_output=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Deploy image as a web application\n",
    "\n",
    "Follow the steps listed in sections **6. Model deployment as a web application** and **9. CORS** in [/scenarios/classification/25_deployment_on_azure_apps_service_and_setting_CORS_policies](../../../scenarios/classification/25_deployment_on_azure_apps_service_and_setting_CORS_policies.ipynb#deploy) to deploy the inference image that we built in the cell above and to set the correct CORS policies.\n",
    "\n",
    "NOTE: The steps listed below assume that you have successfully deployed your model as a web application using Azure Apps Service and that the correct CORS setting has been set to allow REST API calls from our static website to the deployed model."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Feature extraction and upload calculated features\n",
    "\n",
    "We will use the penultimate layer as the image representation and calculate the features for the validation images which are used to retreive similar images as shown in [1_image_similarity_export](1_image_similarity_export.ipynb).\n",
    "\n",
    "Follow the steps listed in sections **Feature extraction** and **Export for HTML Interface**, which will guide you through the processes of feature extraction and uploading of calculated features to Azure Blob Storage.\n",
    "\n",
    "**NOTE: Remember that you already have your learner `learn` in-memory which should be used to calculate the features**\n",
    "\n",
    "ex: `embedding_layer = learn.model[1][-2]`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Upload files required for deploying the static HTML web application\n",
    "\n",
    "Follow the steps in notebook: [2_upload_ui](2_upload_ui.ipynb)\n",
    "\n",
    "The notebook linked above will guide you through deploying the static web page application, which in our case is as simple as uploading the required files (HTML, javascript, css files) to Azure blob storage.\n",
    "\n",
    "**NOTE: Update hard-coded paths pointing to CVBP's blob in `/UICode/index.html`, `/UICode/script.js` and replace them with the corresponding directories in your blob storage. A quick search for `https://cvbp.blob.core.windows.net/` will help you find the paths you will need to modify.**"
   ]
  }
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